{"id":"W4398454597","doi":"10.7910/dvn/pkjufn/wfii6t","title":"FCC2002.215.ran","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Transport Systems and Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Ran; Computer science; Computer network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000573461,0.0003691908,0.0004855946,0.0001033819,0.00004209305,0.00003607608,0.0007004577,0.0005375216,0.01099102],"category_scores_gemma":[0.00002499514,0.0003892576,0.0001157135,0.0001750573,0.00005038191,0.0001142763,0.00008849896,0.000664024,0.2444102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004764882,"about_ca_system_score_gemma":0.00002558345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001016982,"about_ca_topic_score_gemma":0.0002549166,"domain_scores_codex":[0.998679,0.00001230806,0.000352661,0.0003635767,0.0002437693,0.0003486164],"domain_scores_gemma":[0.9986334,0.0000203296,0.00005429875,0.001133697,0.0000137198,0.0001445441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005093787,0.00001115952,0.000002528879,0.000442277,0.0001133994,0.0003864767,0.000008665226,0.00004561313,0.00003996648,0.00002995086,0.9986182,0.0002967074],"study_design_scores_gemma":[0.0002609271,0.00002238284,0.00001259159,0.00007033809,0.00009840797,0.00002624767,0.00001747712,0.00007192889,0.00004508947,0.00000724748,0.9989784,0.0003889907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000849662,0.00000474718,0.0001765343,0.000004050722,0.00130892,0.000204372,0.9970365,0.0007820873,0.0004743622],"genre_scores_gemma":[0.0001795703,0.0004546864,0.0001511401,0.00009034556,0.000321928,0.00003173454,0.9986395,0.00005718118,0.00007389765],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2334191,"threshold_uncertainty_score":0.9998559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030042744879746,"score_gpt":0.1905832209160307,"score_spread":0.1802827934672333,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}